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Real-time System for High-resolution ECG Diagnosis Based on 3D Late Potential Fractal Dimension Estimation

Escalona, OJ, Mendoza, M, Villegas, G and Navarro, C (2011) Real-time System for High-resolution ECG Diagnosis Based on 3D Late Potential Fractal Dimension Estimation. In: Computing in Cardiology, Hangzhou, China. Computing in Cardiology, 2011. Vol 38 4 pp. [Conference contribution]

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A real-time high-resolution ECG (HRECG) system was developed to study ventricular late potentials (VLP). In the denoising method, the SFP alignment technique was embedded in a pre-processing micro-controller to support the signal averaging process. This system is intended for screening subjects at cardiac risk in the out-of-hospital environment. It uses the fractal dimension of VLP (LPδ) as the diagnostic parameter. Performance of the SFP technique was tested by systematic 50Hz and EMG additive noise onto a noiseless ECG signal model of known spectrum. Spectral degradation due to the SFP based averaging, indicated a negligible beat alignment jitter SD under worst case of noise levels: ±2.6ms SD for 340µV (rms) of 50Hz noise, and ±1.3ms SD for 71µV (rms) of EMG noise type. In the LPδ verification method, the mean value of LPδ in five healthy volunteers was of 1.204 ±0.0526. A synthetic, coherent, and orthogonal LP signal injection at the body surface (with LPδ >1.36) indicated satisfactory LPδ parameter reproducibility

Item Type:Conference contribution (Paper)
Keywords:ECG, HRECG, SAECG, SFP alignment, ventricular late potentials, real-time systems, SCD, vectorcardiography, fractal dimension, chaos, 3D attractor, at-risk patients, Brugada syndrome
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:20883
Deposited By: Professor Omar Escalona
Deposited On:09 May 2012 12:18
Last Modified:19 Oct 2017 10:03

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